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ORCIDEdwin Villanueva
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2020 – today
- 2024
[c14]Gian Rodriguez
, Edwin Villanueva, Johan Baldeón:
Enhancing Pokémon VGC Player Performance: Intelligent Agents Through Deep Reinforcement Learning and Neuroevolution. HCI (47) 2024: 275-294- 2023
- [j5]Edwin Villanueva, Soledad Espezua, George Castelar, Kyara Diaz, Erick Ingaroca:
Smart Multi-Sensor Calibration of Low-Cost Particulate Matter Monitors. Sensors 23(7): 3776 (2023) - 2022
- [c13]Stev H. Ramos, Joel Cabrera, Daniel Ibáñez, Alejandro B. Jiménez-Panta, César Beltrán Castañón, Edwin Villanueva:
Unpaired Faces to Cartoons: Improving XGAN. CVPR Workshops 2022: 1517-1526 - 2021
- [c12]Luis E. Colchado, Edwin Villanueva, José Ochoa Luna:
A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter. DSAA 2021: 1-10 - [c11]Sergio del Río, Edwin Villanueva:
A Novel Method to Estimate Parents and Children for Local Bayesian Network Learning. IntelliSys (2) 2021: 468-485 - [c10]Adrian Ulloa, Soledad Espezua, Julio Villavicencio, Oscar Miranda, Edwin Villanueva:
Predicting Daily Trends in the Lima Stock Exchange General Index Using Economic Indicators and Financial News Sentiments. SIMBig 2021: 34-49 - [c9]Joel Cabrera, Edwin Villanueva:
Investigating Generative Neural-Network Models for Building Pest Insect Detectors in Sticky Trap Images for the Peruvian Horticulture. SIMBig 2021: 356-369 - 2020
- [c8]Lourdes Montalvo, Edwin Villanueva:
Drug Recommendation System for Geriatric Patients Based on Bayesian Networks and Evolutionary Computation. IHSI 2020: 492-497 - [c7]Daniel Chapi, Soledad Espezua, Julio Villavicencio, Oscar Miranda, Edwin Villanueva:
Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets. SIMBig 2020: 154-168 - [c6]Irvin Rosendo Vargas-Campos, Edwin Villanueva:
Comparative Study of Spatial Prediction Models for Estimating PM2.5 Concentration Level in Urban Areas. SIMBig 2020: 169-180
2010 – 2019
- 2019
- [i1]Daniel Saromo, Elizabeth Villota, Edwin Villanueva:
Auto-Rotating Perceptrons. CoRR abs/1910.02483 (2019) - 2018
- [c5]Alexandra Espichan, Edwin Villanueva:
A novel ensemble method for high-dimensional genomic data classification. BIBM 2018: 2229-2236 - [c4]Robert Aduviri, Daniel Matos, Edwin Villanueva:
Feature selection algorithm recommendation for gene expression data through gradient boosting and neural network metamodels. BIBM 2018: 2726-2728 - 2015
- [j4]Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel, André C. P. L. F. de Carvalho:
A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing 149: 767-776 (2015) - 2014
- [j3]Edwin Villanueva, Carlos Dias Maciel:
Efficient methods for learning Bayesian network super-structures. Neurocomputing 123: 3-12 (2014) - [j2]Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel:
Towards an efficient genetic algorithm optimizer for sequential projection pursuit. Neurocomputing 123: 40-48 (2014) - 2012
- [b1]Edwin Villanueva Talavera:
Efficient evolutionary system for learning BN structures (Sistema evolutivo eficiente para aprendizagem estrutural de redes Bayesianas). University of São Paulo, Brazil, 2012 - [c3]Soledad Espezua, Edwin Villanueva, Carlos Dias Maciel:
On the Crossover Operator for GA-based Optimizers in Sequential Projection Pursuit. ICPRAM (1) 2012: 93-102 - [c2]Edwin Villanueva, Carlos Dias Maciel:
Optimized Algorithm for Learning Bayesian Network Super-structures. ICPRAM (1) 2012: 217-222 - 2010
- [j1]Edwin Villanueva, Carlos Dias Maciel:
Modeling associations between genetic markers using Bayesian networks. Bioinform. 26(18) (2010)
2000 – 2009
- 2007
- [c1]Rafael Eduardo Ruviaro Christ, Edwin Villanueva Talavera, Carlos Dias Maciel:
Gaussian Hierarchical Bayesian Clustering Algorithm. ISDA 2007: 133-137
Coauthor Index
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